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Distance Learning And Cognitive Load Theory To Improve Traditional And Non Traditional Student Learning Of Computer Programming For Mechanical Engineers: Quantitative Assessment
Author(s) -
Thomas J. Impelluso
Publication year - 2020
Publication title -
2009 annual conference and exposition proceedings
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--4502
Subject(s) - computer science , cognitive load , cognition , human–computer interaction , artificial intelligence , psychology , neuroscience
This paper reports on the re-design of a computer programming class for students of mechanical engineering. The content was re-designed using Cognitive Load Theory; the delivery was redesigned using on-line technologies. Student learning was objectively assessed; it improved and the drop-out rate reduced. A previous paper reported on greatly improved student attitudes and instructor reviews. This paper reports on objective data: comparing student performance on identical final exams. Note is made of improved learning by non-traditional engineering students. This paper also reports on two additional teaching strategies that were deployed to improve learning. Finally, this work points to the next step in this evolving redesign.

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